Triple
T22901849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oskarshamn Municipality |
E568338
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Figeholm
Figeholm is a small coastal locality in southeastern Sweden known for its archipelago setting and maritime character.
|
E1560448
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Figeholm | Statement: [Oskarshamn Municipality, contains, Figeholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Figeholm Context triple: [Oskarshamn Municipality, contains, Figeholm]
-
A.
Viggbyholm
Viggbyholm is a residential urban area in the northern Stockholm region of Sweden, known for its proximity to water, green spaces, and commuter connections into central Stockholm.
-
B.
Tidaholm
Tidaholm is a small Swedish town known for its industrial heritage, particularly match production, and its scenic location by the river Tidan.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Stora Fjäderholmen
Stora Fjäderholmen is the main island of the Fjäderholmarna group near Stockholm, known for its scenic coastal setting, craft shops, and restaurants popular with day-trippers.
-
E.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Figeholm Triple: [Oskarshamn Municipality, contains, Figeholm]
Generated description
Figeholm is a small coastal locality in southeastern Sweden known for its archipelago setting and maritime character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Figeholm Target entity description: Figeholm is a small coastal locality in southeastern Sweden known for its archipelago setting and maritime character.
-
A.
Viggbyholm
Viggbyholm is a residential urban area in the northern Stockholm region of Sweden, known for its proximity to water, green spaces, and commuter connections into central Stockholm.
-
B.
Tidaholm
Tidaholm is a small Swedish town known for its industrial heritage, particularly match production, and its scenic location by the river Tidan.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Stora Fjäderholmen
Stora Fjäderholmen is the main island of the Fjäderholmarna group near Stockholm, known for its scenic coastal setting, craft shops, and restaurants popular with day-trippers.
-
E.
Fagersjö
Fagersjö is a residential district in southern Stockholm, Sweden, known for its proximity to lakes and green areas.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18016d8e481908fc47d003156b800 |
completed | April 29, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9c971308190a7b9069ad1273f86 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb4c32a4819086a4bfdf25476d78 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc15b59c8190b918d551b1fb3230 |
completed | May 19, 2026, 1:25 a.m. |
Created at: April 17, 2026, 3:41 p.m.